Extracting aspects of determiner meaning from dialogue in a virtual world environment
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Roy_Extracting Aspects.pdf
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Author(s)
Reckman, Hilke
Orkin, Jeffrey David
Roy, Deb K
Date Issued
January 2011
Journal
Proceedings of the Ninth International Conference on Computational Semantics, IWCS '11
Publisher
Association for Computing Machinery
Citation
Reckman, Hilke, Jeff Orkin, and Deb Roy. "Extracting aspects of determiner meaning from oy.dialogue in a virtual world environment." In Proceedings of the Ninth International Conference on Computational Semantics, IWCS '11, Oxford, UK, January 12–14 2011, ACM, 2011.
Version
Author's final manuscript
Abstract
We use data from a virtual world game for automated learning of words and grammatical constructions and their meanings. The language data are an integral part of the social interaction in the game and consist of chat dialogue, which is only constrained by the cultural context, as set by the nature of the provided virtual environment. Building on previous work, where we extracted a vocabulary for concrete objects in the game by making use of the non-linguistic context, we now target NP/DP grammar, in particular determiners. We assume that we have captured the meanings of a set of determiners if we can predict which determiner will be used in a particular context. To this end we train a classifier that predicts the choice of a determiner on the basis of features from the linguistic and non-linguistic context.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
http://dl.acm.org/citation.cfm?id=2002695
